apache/apisix-ingress-controller
Apisix Ingress Controller
这是一个 Kubernetes Ingress 控制器，在容器化环境中充当 API 网关和流量管理器。它通过监控集群事件并将原生的 Ingress 资源定义转换为活跃的路由配置来运行，确保外部流量根据声明式规范被引导至内部服务。
该控制器的独特之处在于它能够作为人工智能模型的专用网关，提供一个强制执行速率限制、内容审核和提示词防护（prompt guardrails）的安全入口。它支持动态配置更新，允许在不重启网关进程的情况下实时修改流量管理策略。此外，该系统利用基于插件的架构，支持自定义逻辑注入，并可在多个服务终端之间进行集中的策略编排。
除了核心路由功能外，该项目还提供了全面的 API 安全工具，包括请求身份验证和消费者管理。它促进了不同网络通信标准之间的协议桥接，并通过集成的性能监控和操作指标导出功能来维护系统健康。其架构支持灵活的部署模式，允许在不同的基础设施环境中扩展流量处理能力。
Features
- Ingress Controllers - Acts as a Kubernetes ingress controller that translates cluster resources into active routing configurations for API management.
- Ingress Gateways - Directs external traffic to internal services by translating native cluster resource definitions into active gateway routing configurations.
- AI Request Routers - Directs incoming requests to multiple language model providers through a single endpoint while balancing traffic loads and enforcing rate limits.
- AI Request Routing - Directs traffic to multiple language model providers through a unified endpoint while enforcing rate limits and security guardrails.
- AI Security Gateways - Provides a secure entry point that routes requests to language models while applying rate limits and prompt guardrails.
- Kubernetes Traffic Controllers - Automates the conversion of native ingress definitions into gateway configurations for containerized environments.
- Traffic Management Gateways - Manages load balancing, request retries, and timeout policies to ensure reliable performance across distributed backend service environments.
- Traffic Routing Rules - Directs external traffic to internal services by managing routing rules as a primary cluster entry point.
- API and Frontend Authentication - Secures network endpoints by verifying user identities and managing access credentials for individual consumers.
- API Gateway Security - Routes HTTP, gRPC, and WebSocket requests while enforcing security policies and load balancing.
- Model Context Protocol - Exposes and controls external system tools through a secure interface to facilitate structured interactions between AI models and private data.
- Traffic Resilience Policies - Defines load balancing, retry logic, and timeout thresholds to ensure reliable request handling for backend services.
- Event-Driven Configuration Synchronization - Monitors cluster events to trigger immediate updates to the gateway configuration whenever infrastructure resources are modified.
- Configuration Hot-Reloading - Updates active traffic management policies in real-time without restarting the gateway process to ensure continuous service availability.
- Traffic Orchestration - Automates network traffic flow and service connectivity across distributed containerized environments using declarative configuration.
- Configuration Translation - Converts high-level infrastructure specifications into low-level gateway routing rules and plugin configurations through automated mapping logic.
- Kubernetes Controllers - Watches cluster resource changes and reconciles the actual state of the gateway infrastructure to match desired configuration definitions.
- Protocol Translation Bridges - Translates and routes data between diverse network protocols like HTTP, gRPC, and WebSockets to ensure seamless connectivity.
- Gateway API Traffic Configurations - Supports custom plugins, load balancing algorithms, and routing logic to tailor traffic management to specific infrastructure requirements.
- API Access Control - Manages authentication credentials and plugin settings for individual consumers to control access levels across network endpoints.
- API Request Authentication - Verifies user identity and secures endpoints using standard authentication protocols to ensure authorized access.
- Centralized Policy Administration - Applies shared settings and security guardrails across multiple service endpoints from a single source of truth.
- Plugin Configurations - Applies shared settings across multiple routes from a central resource to ensure consistent policy enforcement.
- Extensible Plugin Architectures - Allows custom logic and traffic processing modules to be injected into the request lifecycle to modify gateway behavior.
- Gateway Observability - Collects and exports operational performance metrics from gateway infrastructure to support real-time monitoring.
- Metrics Exports - Exports internal performance and operational data in standard formats to support real-time observability and traffic analysis.
- Load Balancing and Ingress - Ingress controller for K8s.
